diff --git a/README.md b/README.md deleted file mode 100644 index 4c7cfe4de0f2d93f4a4da0ce98f06a11dbed5b3e..0000000000000000000000000000000000000000 --- a/README.md +++ /dev/null @@ -1,70 +0,0 @@ -<h1 style="text-align:center"> -A Two-Step Method for Ensuring Printed Document Integrity using Crossing Number Distances -</h1> -<div style="text-align:center"> -<h3> -<a href="https://liris.cnrs.fr/page-membre/felix-yriarte">Felix Yriarte</a>, -<a href="https://paulineputeaux.github.io">Pauline Puteaux</a>, -<a href="https://liris.cnrs.fr/page-membre/iuliia-tkachenko">Iuliia Tkachenko</a> -<br> -<br> -WIFS: Workshop on Information Forensics and Security 2022 -</h3> -</div> - -# Table of content -- [Overview](#overview) -- [Method](#code) -- [Dataset](#dataset) -- [Integrity check results](#results) -- [Citation](#citation) -- [Acknowledgements](#acknowledgements) - -# Overview -This page contains the materials presented in the paper -[A Two-Step Method for Ensuring Printed Document Integrity using Crossing Number Distances](https://hal/WIFS2022_paper.pdf). - -You can find here the [impementation](#code) of proposed method in Python 3 and the audmented PaySlip [dataset](#dataset). - - -# Method -The implementation of our method was done using Python and standard image processing libraries, such as OpenCV, matplotlib, and scikit-image. - -# Dataset -The augmented PaySlip dataset can be downloaded [here](http:/.../AudmantedPaySlip.zip). We provide 100 document images printed and scanned using X priner/scanner at 600dpi resolution. - -##### **Augmanted PaySlip samples** - - -# Integrity check results - -For our dataset, we have obtained the following results : - - | Genuine | Forged -:--- | :---: | :----: -PS 300dpi | 100% | 95% -PS 600dpi | 100% | 90% -Double PS 600dpi | 50% | 100% -:--- | :---: | :----: -Total mean | 83% | 95% - -# Citation -The code and the augmented dataset could only be used for scientific purposes. It must not be republished other than by the original authors. The scientific use includes processing the data and showing it in publications and presentations. If you use it, please cite: -``` -@InProceedings{yriarte2022two, - author = {Yriarte F., Puteaux P. and Tkachenko I}, - title = {A Two-Step Method for Ensuring Printed Document Integrity using Crossing Number Distances}, - booktitle = {Proceedings of the IEEE International Workshop on Information Forensics and Security}, - month = {December}, - year = {2022} -} -``` - -# Acknowledgments -This work was funded by the project FuzzyDoc supported by the CNRS Research Group of Information, Signal, Image and Vision (CNRS GdR-ISIS). -<div style="text-align:center"> -<img style="margin-right: 20px" src="assets/logo_liris.png" alt="LIRIS logo" height="75" width="160"/> -<img style="margin-right: 20px" src="assets/logo_cristal.png" alt="CRIStAL logo" height="75" width="160"/> -<img style="margin-left: 20px" src="assets/logo_gdr_isis.png" alt="GDR-ISIS logo" height="60" width="262"/> -</div> -